Mercurial > repos > bgruening > sklearn_nn_classifier
comparison test-data/get_params01.tabular @ 10:e9ba818e7877 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
author | bgruening |
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date | Tue, 14 May 2019 18:09:43 -0400 |
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9:ed7b1654e841 | 10:e9ba818e7877 |
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1 Parameter Value | |
2 * memory memory: None | |
3 * steps "steps: [('robustscaler', RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True, | |
4 with_scaling=True)), ('selectkbest', SelectKBest(k=10, score_func=<function f_classif at 0x111ef0158>)), ('svr', SVR(C=1.0, cache_size=200, coef0=0.0, degree=3, epsilon=0.1, | |
5 gamma='auto_deprecated', kernel='linear', max_iter=-1, shrinking=True, | |
6 tol=0.001, verbose=False))]" | |
7 @ robustscaler "robustscaler: RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True, | |
8 with_scaling=True)" | |
9 @ selectkbest selectkbest: SelectKBest(k=10, score_func=<function f_classif at 0x111ef0158>) | |
10 @ svr "svr: SVR(C=1.0, cache_size=200, coef0=0.0, degree=3, epsilon=0.1, | |
11 gamma='auto_deprecated', kernel='linear', max_iter=-1, shrinking=True, | |
12 tol=0.001, verbose=False)" | |
13 @ robustscaler__copy robustscaler__copy: True | |
14 @ robustscaler__quantile_range robustscaler__quantile_range: (25.0, 75.0) | |
15 @ robustscaler__with_centering robustscaler__with_centering: True | |
16 @ robustscaler__with_scaling robustscaler__with_scaling: True | |
17 @ selectkbest__k selectkbest__k: 10 | |
18 @ selectkbest__score_func selectkbest__score_func: <function f_classif at 0x111ef0158> | |
19 @ svr__C svr__C: 1.0 | |
20 @ svr__cache_size svr__cache_size: 200 | |
21 @ svr__coef0 svr__coef0: 0.0 | |
22 @ svr__degree svr__degree: 3 | |
23 @ svr__epsilon svr__epsilon: 0.1 | |
24 @ svr__gamma svr__gamma: 'auto_deprecated' | |
25 @ svr__kernel svr__kernel: 'linear' | |
26 @ svr__max_iter svr__max_iter: -1 | |
27 @ svr__shrinking svr__shrinking: True | |
28 @ svr__tol svr__tol: 0.001 | |
29 * svr__verbose svr__verbose: False | |
30 Note: @, searchable params in searchcv too. |